Senior LiveKit / WebRTC Engineer (Go)

Allneeda; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

Allneeda is seeking a Senior Real-Time Communications Engineer to design, build, and scale audio/video infrastructure on LiveKit. You will work at the protocol layer with Go and Pion, delivering low-latency media services for thousands of concurrent users, from architecture to production.

Key focus areas include SFU optimization, signaling, NAT traversal, and integration with client SDKs. Remote agents and on-site collaboration are part of a distributed team environment.

Qualifications

• 5+ years of professional software engineering experience, with at least 3 years in real-time communication or WebRTC.
• Strong proficiency in Go (Golang), including concurrency patterns (goroutines, channels), profiling, and performance tuning.
• Hands-on experience with Pion WebRTC, such as building peer connections, handling tracks, and working with RTP/RTCP packets.
• Production experience with LiveKit, including server deployment, configuration, and SDK usage.
• Solid understanding of WebRTC internals: SDP, ICE, DTLS, SRTP, RTP/RTCP, and codecs (Opus, VP8, VP9, H.264, AV1).
• Experience with SFU architectures and media routing concepts.
• Experience deploying and operating STUN/TURN servers (e.g., coturn or Pion TURN).
• Familiarity with Redis, Docker, Kubernetes, and CI/CD pipelines.
• Strong debugging skills using tools like chrome://webrtc-internals, Wireshark, and Prometheus/Grafana.
• Good communication skills and the ability to work independently in a distributed team.

Responsibilities

• Design, develop, and maintain real-time audio/video applications and services built on LiveKit (self-hosted and/or LiveKit Cloud).
• Extend and customize LiveKit server components, including SFU behavior, room management, egress/ingress, and webhooks.
• Build Go services with Pion WebRTC for custom media pipelines, bots, recording, transcoding, or media relay.
• Implement and debug signaling, ICE/STUN/TURN connectivity, NAT traversal, and peer connection lifecycle management.
• Optimize media quality and latency through simulcast, SVC, bandwidth estimation, congestion control, and adaptive bitrate strategies.
• Integrate real-time AI/voice agents where applicable.
• Deploy and scale WebRTC infrastructure on Kubernetes and cloud platforms (AWS/GCP/Azure), including multi-region setups.
• Monitor production systems, analyze WebRTC stats, and troubleshoot issues like packet loss, jitter, and connection failures.
• Collaborate with frontend and mobile teams on client SDK integration (JavaScript, React, iOS, Android, Flutter).
• Write clean, tested, well-documented code and contribute to architecture decisions and code reviews.

Skills

Go (Golang)

Pion WebRTC

LiveKit

SFU architectures

Redis

Docker

Kubernetes

CI/CD

Wireshark

Prometheus/Grafana

Tools

Git

Job description

About the Role

We're looking for a Senior Real-Time Communications Engineer to design, build, and scale our audio/video infrastructure on LiveKit. You'll work deep in the WebRTC stack using Go and Pion, building low-latency media services that support thousands of concurrent users. This role suits someone who enjoys working close to the protocol layer and owns systems from architecture through production.

Key Responsibilities

• Design, develop, and maintain real-time audio/video applications and services built on LiveKit (self-hosted and/or LiveKit Cloud).
• Extend and customize LiveKit server components, including SFU behavior, room management, egress/ingress, and webhooks.
• Build Go services with Pion WebRTC for custom media pipelines, bots, recording, transcoding, or media relay.
• Implement and debug signaling, ICE/STUN/TURN connectivity, NAT traversal, and peer connection lifecycle management.
• Optimize media quality and latency through simulcast, SVC, bandwidth estimation, congestion control, and adaptive bitrate strategies.
• Integrate real-time AI/voice agents (for example, the LiveKit Agents framework, STT/TTS, and LLM pipelines) where applicable.
• Deploy and scale WebRTC infrastructure on Kubernetes and cloud platforms (AWS/GCP/Azure), including multi-region setups.
• Monitor production systems, analyze WebRTC stats, and troubleshoot issues like packet loss, jitter, and connection failures.
• Collaborate with frontend and mobile teams on client SDK integration (JavaScript, React, iOS, Android, Flutter).
• Write clean, tested, well-documented code and contribute to architecture decisions and code reviews.

Required Qualifications

• 5+ years of professional software engineering experience, with at least 3 years in real-time communication or WebRTC.
• Strong proficiency in Go (Golang), including concurrency patterns (goroutines, channels), profiling, and performance tuning.
• Hands-on experience with Pion WebRTC, such as building peer connections, handling tracks, and working with RTP/RTCP packets.
• Production experience with LiveKit, including server deployment, configuration, and SDK usage.
• Solid understanding of WebRTC internals: SDP, ICE, DTLS, SRTP, RTP/RTCP, and codecs (Opus, VP8, VP9, H.264, AV1).
• Experience with SFU architectures and media routing concepts.
• Experience deploying and operating STUN/TURN servers (e.g., coturn or Pion TURN).
• Familiarity with Redis, Docker, Kubernetes, and CI/CD pipelines.
• Strong debugging skills using tools like chrome://webrtc-internals, Wireshark, and Prometheus/Grafana.
• Good communication skills and the ability to work independently in a distributed team.

Preferred Qualifications

• Contributions to LiveKit, Pion, or other open-source WebRTC projects.
• Experience with GStreamer or FFmpeg for media processing, recording, or streaming.
• Knowledge of streaming protocols such as RTMP, WHIP/WHEP, HLS, or SRT.
• Experience building voice AI agents or integrating real-time speech pipelines.
• Familiarity with other SFUs/media servers (mediasoup, Janus, Jitsi, Kurento).
• Experience with frontend WebRTC development in JavaScript/TypeScript.
• Background in networking fundamentals (UDP/TCP, QoS, latency optimization).